Automatic Speech Recognition (ASR)

Automatic Speech Recognition (ASR) involves converting spoken language into written text. It is designed to transcribe spoken words into text in real-time, allowing people to communicate with computers, mobile devices, and other technology using their voice. The goal of Automatic Speech Recognition is to accurately transcribe speech, taking into account variations in accent, pronunciation, and speaking style, as well as background noise and other factors that can affect speech quality.

Papers

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Showing 1151–1160 of 3012 papers

Title	Date	Tasks	Status
Coarse-To-Fine And Cross-Lingual ASR Transfer	Sep 2, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
ASR Adaptation for E-commerce Chatbots using Cross-Utterance Context and Multi-Task Language Modeling	Jun 15, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
CNN-based MultiChannel End-to-End Speech Recognition for everyday home environments	Nov 7, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Speech Test Set of Practice Business Presentations with Additional Relevant Texts	Aug 2, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
AfriSpeech-200: Pan-African Accented Speech Dataset for Clinical and General Domain ASR	Sep 30, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Cloud-based Automatic Speech Recognition Systems for Southeast Asian Languages	Oct 7, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Ask2Mask: Guided Data Selection for Masked Speech Modeling	Feb 24, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
AfriNames: Most ASR models "butcher" African Names	Jun 1, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Acoustically Grounded Word Embeddings for Improved Acoustics-to-Word Speech Recognition	Mar 29, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Clinical Dialogue Transcription Error Correction using Seq2Seq Models	May 26, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified

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All datasets LRS2 RealMAN Sagalee HUI speech corpus LRS3-TED M-AILabs speech dataset The Spoken Wikipedia Corpora Voxforge German VoxPopuli

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	TM-CTC	Test WER	10.1	—	Unverified
2	TM-seq2seq	Test WER	9.7	—	Unverified
3	CTC/attention	Test WER	8.2	—	Unverified
4	LF-MMI TDNN	Test WER	6.7	—	Unverified
5	Whisper-LLaMA	Test WER	6.6	—	Unverified
6	End2end Conformer	Test WER	3.9	—	Unverified
7	End2end Conformer	Test WER	3.7	—	Unverified
8	MoCo + wav2vec (w/o extLM)	Test WER	2.7	—	Unverified
9	CTC/Attention	Test WER	1.5	—	Unverified
10	Whisper	Test WER	1.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SpatialNet	CER	14.5	—	Unverified
2	CleanMel-L-mask	CER	14.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Conformer	Test WER	15.32	—	Unverified
2	Whisper-largev3-finetuned	Test WER	10.82	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Conformer Transducer	WER (%)	1.89	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DistillAV	WER	1.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Conformer Transducer	WER (%)	4.28	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Conformer Transducer	WER (%)	8.04	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Conformer Transducer	WER (%)	3.36	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Conformer Transducer (German)	WER (%)	8.98	—	Unverified